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Time Series Databases: New Ways to Store and Access Data

Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You’ll explore the theory behind time series databases and learn practical methods for implementing them. Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion.You’ll learn:A variety of time series use casesThe advantages of NoSQL databases for large-scale time series dataNoSQL table design for high-performance time series databasesThe benefits and limitations of OpenTSDBHow to access data in OpenTSDB using R, Go, and RubyHow time series databases contribute to practical machine learning projectsHow to handle the added complexity of geo-temporal dataFor advice on analyzing time series data, check out Practical Machine Learning: A New Look at Anomaly Detection, also from Ted Dunning and Ellen Friedman[...]

Beginning Oracle Database 12c Administration: From Novice to Professional

Beginning Oracle Database 12c Administration is your entry point into a successful and satisfying career as an Oracle Database Administrator.The chapters of this book are logically organized into four parts closely tracking the way your database administration career will naturally evolve. Part 1 "Database Concepts" gives necessary background in relational database theory and Oracle Database concepts, Part 2 "Database Implementation" teaches how to implement an Oracle database correctly, Part 3 "Database Support" exposes you to the daily routine of a database administrator, and Part 4 "Database Tuning" introduces the fine art of performance tuning.Beginning Oracle Database 12c Administration provides information that you won't find in other books on Oracle Database. You'll discover not only technical information, but also guidance on work practices that are as vital to your success as are your technical skills. The author's favorite chapter is "The Big Picture and the Ten Deliverables." (It is the editor’s favorite chapter too!) If you take the lessons in that chapter to heart, you can quickly become a much better Oracle database administrator than you ever thought possible.You will grasp the key aspects of theory behind relational database management systems and learn how to:• Install and configure an Oracle database[...]

Hadoop in Practice: Includes 104 Techniques

SummaryHadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating Kafka, Impala, and Spark SQL with Hadoop. You'll also get new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the BookIt's always a good time to upgrade your Hadoop skills! Hadoop in Practice, Second Edition provides a collection of 104 tested, instantly useful techniques for analyzing real-time streams, moving data securely, machine learning, managing large-scale clusters, and taming big data using Hadoop. This completely revised edition covers changes and new features in Hadoop core, including MapReduce 2 and YARN. You'll pick up hands-on best practices for integrating Spark, Kafka, and Impala with Hadoop, and get new and updated techniques for the latest versions of Flume, Sqoop, and Mahout. In short, this is the most practical, up-to-date[...]

Elasticsearch Indexing

Key FeaturesImprove user's search experience with the correct configurationDeliver relevant search results – fast!Save time and system resources by creating stable clustersBook DescriptionBeginning with an overview of the way ElasticSearch stores data, you'll begin to extend your knowledge to tackle indexing and mapping, and learn how to configure ElasticSearch to meet your users' needs. You'll then find out how to use analysis and analyzers for greater intelligence in how you organize and pull up search results – to guarantee that every search query is met with the relevant results! You'll explore the anatomy of an ElasticSearch cluster, and learn how to set up configurations that give you optimum availability as well as scalability. Once you've learned how these elements work, you'll find real-world solutions to help you improve indexing performance, as well as tips and guidance on safety so you can back up and restore data. Once you've learned each component outlined throughout, you will be confident that you can help to deliver an improved search experience – exactly what modern users demand and expect.What you will learnLearn how ElasticSearch efficiently stores data – and find out how it can reduce costsControl document metadata with the correct mapping strategies and[...]

Database Administration: The Complete Guide to DBA Practices and Procedures

Database Administration, Second Edition , is the definitive, technology-independent guide to the modern discipline of database administration. Packed with best practices and proven solutions for any database platform or environment, this text fully reflects the field’s latest realities and challenges. Drawing on more than thirty years of database experience, Mullins focuses on problems that today’s DBAs actually face, and skills and knowledge they simply must have.   Mullins presents realistic, thorough, and up-to-date coverage of every DBA task, including creating database environments, data modeling, normalization, design, performance, data integrity, compliance, governance, security, backup/recovery, disaster planning, data and storage management, data movement/distribution, data warehousing, connectivity, metadata, tools, and more.   This edition adds new coverage of “Big Data,” database appliances, cloud computing, and NoSQL. Mullins includes an entirely new chapter on the DBA’s role in regulatory compliance, with substantial new material on data breaches, auditing, encryption, retention, and metadata management. You’ll also find an all-new glossary, plus up-to-the-minute DBA rules of thumb[...]

Apache Mahout Essentials

Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout About This BookApply machine learning algorithms effectively in production environments with Apache MahoutGain better insights into large, complex, and scalable datasetsFast-paced tutorial, covering the core concepts of Apache Mahout to implement machine learning on Big DataWho This Book Is ForIf you are a Java developer or data scientist, haven't worked with Apache Mahout before, and want to get up to speed on implementing machine learning on big data, then this is the perfect guide for you.What You Will Learn Get started with the fundamentals of Big Data, batch, and real-time data processing with an introduction to Mahout and its applications Understand the key machine learning concepts behind algorithms in Apache Mahout Apply machine learning algorithms provided by Apache Mahout in real-world practical scenarios Implement and evaluate widely-used clustering, classification, and recommendation algorithms using Apache Mahout Discover tips and tricks to improve the accuracy and performance of your results Set up Apache Mahout in a production environment with Apache Hadoop Glance at the Spark DSL advancements in Apache Mahout 1.0 Provide dynamic and interactive data visualizations for Apache Mahout Build a recommendation engine for real-time use cases and[...]

Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement

Data is getting bigger and more complex by the day, and so are the choices in handling that data. As a modern application developer you need to understand the emerging field of data management, both RDBMS and NoSQL. Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source databases today. In the tradition of Bruce A. Tate's Seven Languages in Seven Weeks, this book goes beyond your basic tutorial to explore the essential concepts at the core each technology.Redis, Neo4J, CouchDB, MongoDB, HBase, Riak and Postgres. With each database, you'll tackle a real-world data problem that highlights the concepts and features that make it shine. You'll explore the five data models employed by these databases-relational, key/value, columnar, document and graph-and which kinds of problems are best suited to each.You'll learn how MongoDB and CouchDB are strikingly different, and discover the Dynamo heritage at the heart of Riak. Make your applications faster with Redis and more connected with Neo4J. Use MapReduce to solve Big Data problems. Build clusters of servers using scalable services like Amazon's Elastic Compute Cloud (EC2).Discover the CAP theorem and its implications for your distributed data. Understand the tradeoffs between consistency[...]

Making Sense of NoSQL: A guide for managers and the rest of us

SummaryMaking Sense of NoSQL clearly and concisely explains the concepts, features, benefits, potential, and limitations of NoSQL technologies. Using examples and use cases, illustrations, and plain, jargon-free writing, this guide shows how you can effectively assemble a NoSQL solution to replace or augment the traditional RDBMS you have now.About this BookIf you want to understand and perhaps start using the new data storage and analysis technologies that go beyond the SQL database model, this book is for you. Written in plain language suitable for technical managers and developers, and using many examples, use cases, and illustrations, this book explains the concepts, features, benefits, potential, and limitations of NoSQL.Making Sense of NoSQL starts by comparing familiar database concepts to the new NoSQL patterns that augment or replace them. Then, you'll explore case studies on big data, search, reliability, and business agility that apply these new patterns to today's business problems. You'll see how NoSQL systems can leverage the resources of modern cloud computing and multiple-CPU data centers. The final chaptersshow you how to choose the right NoSQL technologies for your own needs.Managers and developers will welcome this lucid overview of the potential and capabilities of NoSQL technologies.Purchase of the print book[...]

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